Build Your Own MCP Servers with TypeScript -Beginner’s Guide

Build Your Own MCP Servers with TypeScript – Beginner’s Guide is a hands-on course designed to help developers turn traditional backend systems into AI-driven applications using the Model Context Protocol (MCP).

This course focuses on practical implementation, guiding you step by step through building a fully functional MCP Server in TypeScript that allows Large Language Models (LLMs) like Claude to interact directly with your backend logic—securely, reliably, and intelligently.

Rather than treating AI as just a chat interface, this course shows how to expose real backend functionality (CRUD, APIs, databases) as MCP tools that AI agents can safely operate.

Course Snapshot

• Status: Bestseller | Highest Rated

• Skill Level: Beginner → Intermediate

• Language: English (Auto captions available)

• Last Updated: January 2026

• Duration: ~5 hours

• Learning Style: Hands-on, project-based

• Access: Full lifetime access (mobile & TV supported)

• Certification: Included

• Refund Policy: 30-day money-back guarantee

What This Course Is About

This course introduces the Model Context Protocol (MCP) from the ground up and shows how it enables LLMs to execute real backend logic, not just generate text.

You’ll learn how to:

• Build MCP-compliant servers using TypeScript

• Expose backend operations as AI tools

• Control how AI accesses data and functionality

• Convert existing services into AI-operable systems

By the end of the course, you’ll have a working MCP server that allows an AI to perform real actions—such as creating, reading, updating, and deleting records—using natural language commands.

MCP Crash Course: Complete Model Context Protocol in a Day

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What You’ll Learn

MCP Fundamentals

• How MCP works behind the scenes

• Interaction flow between users, LLMs, and MCP servers

• MCP’s role in modern AI agent architectures

The Four Pillars of MCP

• Tools: Expose backend functions to AI

• Resources: Safely share structured data

• Prompts: Control how AI understands tasks

• Sampling: Guide intelligent AI decision-making

Building an MCP Server with TypeScript

• Create an MCP server from scratch

• Design MCP-compliant endpoints

• Structure a clean, maintainable server architecture

AI-Powered Backend Systems

• Convert CRUD operations into MCP tools

• Allow AI to interact with databases via natural language

• Use AI sampling to enrich missing data and automate logic

Packaging & Deployment

• Package your MCP server as an npm module

• Configure it for use with MCP clients

• Enable reuse with tools like Claude Desktop

Hands-On Project

Throughout the course, you’ll build a real e-commerce-style backend where:

• Products can be added, updated, deleted, and queried

• AI interacts with the system using plain English

• Backend logic remains secure and fully controlled

This ensures you leave with practical, job-ready skills, not just theory.

Tools & Technologies Used

• TypeScript

• Node.js

• MCP Server SDK

• Claude-compatible MCP clients

• npm packaging workflows

Requirements

To follow along comfortably, learners should have:

• Basic knowledge of JavaScript or TypeScript

• Familiarity with backend concepts (APIs, CRUD)

No prior MCP experience is required—everything is explained step by step.

Who This Course Is For

This course is ideal for:

• Backend Developers

• Full-Stack Engineers

• QA Engineers & SDETs

• AI Enthusiasts & Prompt Engineers

• Developers curious about AI-powered systems

It’s especially useful if you want to move beyond prompts and build AI systems that perform real actions.

Practical Value

After completing this course, you’ll be able to:

• Build MCP servers confidently in TypeScript

• Transform existing backends into AI-driven systems

• Expose business logic safely to AI agents

• Understand how MCP enables tool-based AI workflows

• Prepare your systems for the next generation of AI agents

Industry & Career Relevance

MCP is rapidly becoming a core building block for:

• Agentic AI systems

• Tool-using LLM applications

• Enterprise AI integrations

• Secure AI automation platforms

This course positions you strongly for future-facing AI engineering roles.

Final Verdict

Build Your Own MCP Servers with TypeScript – Beginner’s Guide is an excellent entry point into MCP and AI-powered backend systems. It’s concise, practical, and focused on real implementation, making it perfect for developers who want to understand how AI can safely operate real software systems.

If you want to move from “AI chats” to “AI that does things”, this course is a strong foundation.